Роль четко определена с ясным акцентом на обучение с подкреплением и предлагает конкурентоспособную зарплату, но широкий диапазон зарплат может вызвать вопросы о ее стабильности.
Member of Technical Staff - RL Training Framework (Reinforcement Learning): Building and operating the RL training framework systems for everything from small ablations to production training runs with an accent on end-to-end training performance profiling, debugging, and optimization. Focus on improving scalability and observability of the RL stack while working across the full stack.
Location: Palo Alto, CA
Salary: $180,000 - $440,000 USD
Company
SpaceXAI builds AI systems to understand the universe and support humanity’s pursuit of knowledge.
What you will do
Design and implement systems that back all RL workloads, from small-scale experiments to production training runs.
Profile, debug, and optimize end-to-end RL training performance.
Improve scalability and observability across the RL training stack.
Requirements
Experience building, debugging, and optimizing efficiency of large-scale distributed systems.
Ability to dive into unfamiliar areas and solve problems across all levels of the stack.
Proficiency in Python, Jax, Rust, and/or C++.
Strong communication skills to concisely and accurately share knowledge with teammates.
Nice to have
Experience with large-scale LLM training infrastructure.
Strong knowledge of reinforcement learning techniques.
Experience with RL numerics.
Culture & Benefits
Small, highly motivated team with a flat organizational structure.
Hands-on expectations with direct contribution to the company mission.
Equity and comprehensive medical, vision, and dental coverage.
401(k) retirement plan plus short- and long-term disability insurance and life insurance.
401(k) access and various additional discounts and perks.
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